Apache Kafka for the Hybrid IoT
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Updated
Mar 21, 2019 - JavaScript
Apache Kafka for the Hybrid IoT
Final project for the course 'Architecture for Large Data Volumes', taught in the Bachelor's program in Data Science at ITAM
Distributed Frequency Count Algorithms for Data Streams
RealTime StockStream is a streamlined, simulation system for processing live stock market data. It uses Apache Kafka for data input, Apache Spark for data handling, and Apache Cassandra for data storage, making it a powerful yet easy-to-use tool for financial data analysis
Real-Time Multimodal Emotion Classification System in E-Learning Context
Scaffolding for data stream processing applications, leveraging Apache Flink.
Data Mining course projects
HFlow is a platform for I/O forwarding managed elastically, dynamically, and actively
Tool to approximate the frequency of occurrences of different items in a data stream.
PyFlink data stream processing utilities 🐿
BigData knowledge system(大数据知识体系).
Real-time visual analytics application for link prediction and link detection in criminal networks. Research work accepted to the 5th IEEE International Conference on Future of Internet of Things and Cloud (FiCloud 2017).
Simulation toolbox for Crimegraph.
Code to find rows of high leverage in a data stream.
Hands on data streaming
DataStream-SQLServer provides real-time data streaming from SQL Server using Zookeeper, Kafka, and Debezium. This repository contains the necessary configurations, Docker setups, and sample code to get you started.
In a team of 4 people, we implemented a public lighting control and monitoring system for a smart city
Analyzes rocket league replays, allowing the user to write Streaming-SQL to find out information about the replay as it plays.
Next-Generation Real-Time Data Processing Platform
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